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Efficient and Universal Watermarking for LLM-Generated Code Detection
v1v2v3v4 (latest)

Efficient and Universal Watermarking for LLM-Generated Code Detection

12 February 2024
Boquan Li
Mengdi Zhang
Peixin Zhang
Jun Sun
Xingmei Wang
Xingmei Wang
    WaLM
ArXiv (abs)PDFHTMLGithub (4★)

Papers citing "Efficient and Universal Watermarking for LLM-Generated Code Detection"

4 / 4 papers shown
Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code
Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code
Jungin Kim
Shinwoo Park
Yo-Sub Han
WaLM
297
8
0
26 Feb 2025
RTLMarker: Protecting LLM-Generated RTL Copyright via a Hardware Watermarking Framework
RTLMarker: Protecting LLM-Generated RTL Copyright via a Hardware Watermarking FrameworkAsia and South Pacific Design Automation Conference (ASP-DAC), 2025
Kun Wang
Kaiyan Chang
Mengdi Wang
Xinqi Zou
Haobo Xu
Yinhe Han
Ying Wang
WaLM
258
5
0
05 Jan 2025
Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text
Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text
Lucio La Cava
Davide Costa
Andrea Tagarelli
DeLMO
467
12
0
12 Jul 2024
From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models
From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models
Harsh Nishant Lalai
Aashish Anantha Ramakrishnan
Raj Sanjay Shah
Dongwon Lee
WaLMVLM
308
5
0
17 Jun 2024
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